A Framework for Scaling Up Distributed Minds
An important topic in artificial intelligence is the modular decomposition of problems and solutions into smaller ones. Modular, “hybrid” solutions tend to be built from components mostly created by the same programmer or the same team. What if we already have many solutions online - programs created by a number of different authors and hosted as services - and wish to compose them into a larger, distributed hybrid program which performs better than the individual components? Can this be done automatically? The World-Wide Mind (W2M) project attempts to scale up artificial intelligence by distributing action-selecting agents (which we call “minds”) and problem environments (which we call “worlds”) as services on the internet, and by allowing minds to call other minds and thus facilitate building hybrid minds from many programs which may have been written by many authors. This paper gives a general overview of the W2M architecture and ongoing work examining the possibility of automatically constructing hybrid minds.